Risheet Jajoo
Software Engineer (Full Stack + Machine Learning & Data Science)
I am a Computer Science and Mathematics student at Georgia Tech, focused on machine learning and data science. I am currently a Software Engineer Intern at Cox Automotive and a member of the BuyWise analysis team at Big Data Big Impact @ Georgia Tech, building time-series ML pipelines for price forecasting. I have also conducted computer vision research at the USF Department of Industrial Engineering and computational oncology research at Moffitt Cancer Center.
Education
Expected May 2028
B.S. in Computer Science
Georgia Institute of Technology, Atlanta, GA
GPA: 4.0/4.0
Intelligence and Modeling & Simulation Threads
Minor in Mathematics
Big Data Big Impact · GT Cricket Club
May 2022 - Dec. 2024
A.S. in Statistics
Hillsborough Community College, Tampa, FL
Dual enrollment during high school
Coursework: Multivariable Calculus & Analytic Geometry, Differential Equations
Aug. 2021 - May 2025
High School Diploma
Middleton High School, Tampa, FL
Valedictorian & National Merit Finalist
13x AP Exams (all 5/5)
Mu Alpha Theta (President) · Robotics (Team Captain) · Science NHS (Secretary)
Experience
May 2026 - Aug 2026
Cox Automotive Inc., Atlanta, GA
Software Engineering Intern
Software Engineer Intern building and maintaining production software systems at one of the world's largest automotive technology and data companies.
Feb 2026 - Present
Big Data Big Impact @ Georgia Tech, Atlanta, GA
Analysis Team Member
Developing BuyWise, a Chrome extension that helps users optimize purchase timing by forecasting short-term retail price movements and issuing BUY vs. WAIT recommendations. Building and evaluating LSTM and GBM models on historical data to predict 7-14 day price trends, potential savings, and confidence.
May 2024 - Aug 2024
USF Department of Industrial Engineering, Tampa, FL
Research Intern
Advanced multi-modal object detection by fusing RGB and infrared imagery, improving recognition of small and obscured objects in challenging environments. Implemented and benchmarked YOLO, Faster R-CNN, and Detection Transformer models in PyTorch on annotated datasets, evaluating robustness and performance tradeoffs to identify optimal architectures for real-world deployment.
Jun 2023 - Jul 2023
Moffitt Cancer Center, Tampa, FL
Integrated Mathematical Oncology Research Intern
Developed a machine learning classifier for ACT-TIL therapy eligibility using genetic algorithms for feature selection and Isomap for dimensionality reduction, achieving 96% accuracy on held-out synthetic cohorts. Improved predictive power by optimizing feature subsets with SVM, k-fold cross-validation, and frequency analysis, prioritizing the most influential biomarkers for accurate patient eligibility assessments.
Leadership Experience
Aug 2021 - May 2025
Mu Alpha Theta, Tampa, FL
President
Expanded chapter membership by over 300% (25 to 100+) and led problem-solving workshops with custom study handouts. Directed logistics for regional competitions with 500+ participants, managing food, testing, and awards to ensure smooth execution. Launched a custom chapter website (middletonmao.org) to manage attendance, homework submission, and resources.
Honors and Awards
2025
Valedictorian & National Merit Finalist
Graduated Middleton High School as valedictorian and a National Merit Finalist, with 5/5 scores on 13 AP exams.
2023 - 2025
American Mathematics Competition Series
AMC 12 distinguished scorer (top 5% of 22,000 students); 2x AIME qualifier and Top 25% AIME scorer (out of ~1,400 students).
2025
Mu Alpha Theta National Scholarship
$4,000 national scholarship awarded to 1 of 30 recipients nationwide for dedication and growth in their Mu Alpha Theta chapter.
2024
US National Chemistry Olympiad Qualifier
USNCO national qualifier (1 of 1,000 qualifiers selected nationwide based on the local exam).
2021 - 2025
Mu Alpha Theta Competition Awards
Multiple individual and team awards, including 3 top-5 individual state placements and an individual regional championship.
Selected Projects [Full list]Full list at rjajoo.wiki
2026
Quantara
· Hacklytics 2026 @ Georgia Tech
Full-stack macro-finance platform that predicts tariff-driven market risk and simulates its impact across global markets. Measures the gap between ML-predicted tariff probabilities and market-implied expectations, then runs 90-day price trajectories using Merton jump-diffusion and Monte Carlo simulation, paired with a RAG-powered AI analyst. Built with TypeScript/Node, a Python ML backend (CatBoost), and Snowflake Cortex.
2026
Integration Bee Trainer
· Personal
Full-stack multiplayer platform for competitive integral-solving duels with real-time matchmaking, a complete server-authoritative match lifecycle, and a chess-style Elo ranking system. Features algebraic answer-equivalence checking, LaTeX-rendered problems, and secure auth with email verification and 2FA. Built with Next.js 15, TypeScript, and PostgreSQL.
2026
SafeWalk
· Cox Play with Purpose Hackathon 2026
Safety-first pedestrian routing application for MARTA first/last-mile travel. Optimizes walking paths using a multi-factor safety scoring system with adjustable weighting and an accessibility mode, plus crowdsourced hazard reporting verified in real time with Gemini vision. Built with Next.js, FastAPI, GeoPandas, MapLibre, and Supabase/PostGIS.
2026
Rubik's Cube Training & Analytics Platform
· Personal
Full-stack speedcubing platform with a solve timer, scramble generation, two-phase Kociemba solver, and performance analytics. Solves are scored 0-100 by a hybrid ML and heuristic model accounting for skill level and recent performance, with per-user data isolation behind JWT auth. Built with React, Flask, PostgreSQL, and scikit-learn.
2026
BuyWise
· Big Data Big Impact @ Georgia Tech
Time-series ML pipeline that forecasts product price fluctuations using Keepa API data to generate high-confidence BUY/WAIT recommendations, engineering rolling, seasonal, and volatility-based features for XGBoost/LightGBM models and converting outputs into threshold-based savings decisions.
2025
Metron Finance
· HackGT 12 @ Georgia Tech
Personal-finance platform that gamifies money management with real-time ML-based health scoring (0-1000), AI-powered insights, dynamic goal tracking, and a friend-based leaderboard. Built with React, Spring Boot/Java 21, MySQL, FastAPI, and OpenAI GPT-4.
Skills
Programming Languages: Python, Java, JavaScript, TypeScript, SQL, HTML/CSS
Frameworks & Libraries: React, Next.js, Node.js, Express, Flask, Spring Boot, PyTorch, OpenCV, scikit-learn, NumPy, Pandas
Machine Learning & Data Science: Gradient Boosting (GBM/XGBoost/LightGBM), SVMs, Genetic Algorithms, Time-Series Forecasting, Computer Vision, Data Analysis
Databases: PostgreSQL, MySQL, MongoDB, Supabase
Tools & Infrastructure: AWS, Git/GitHub, Docker, Postman, Jupyter Notebook, MATLAB, VS Code
Mathematics: Linear Algebra, Calculus, Probability & Statistics, Differential Equations